Multi-vector energy optimization tools for energy islands

dc.contributor.author
Puranik, Sanket
dc.contributor.author
Tuiskula, Heidi
dc.contributor.author
Ilieva, Iliana
dc.contributor.author
Torrent-Fontbona, Ferran
dc.contributor.author
Colomer Llinàs, Joan
dc.contributor.author
Meléndez i Frigola, Joaquim
dc.date.accessioned
2024-06-13T09:51:39Z
dc.date.available
2024-06-13T09:51:39Z
dc.date.issued
2019-06-23
dc.identifier
http://hdl.handle.net/10256/19954
dc.identifier.uri
http://hdl.handle.net/10256/19954
dc.description.abstract
Synergies between multiple energy vectors can support decarbonization of local energy islands and, at the same time, relieve stress from the electricity grid. Multi-vector energy systems offer flexibility to integrate variable and economic local energy generation. However, the implementation and operation of multi-vector energy systems face technical, societal and business-related challenges. This paper identifies these challenges and proposes different tools to tackle them. These tools are to be developed in the E-LAND project funded by European Union under the H2020 scheme. Special focus of the paper is on developing a method for optimal planning and operation of multi-vector grid considering robustness. Another novelty of technical tool lies in making scheduling decisions on long-term and short-term storage considering demand response as flexibility resource. By combining technological, societal and business tools, the project expects to create multi-vector energy systems accepted by citizens and with viable business model
dc.description.abstract
E-LAND project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 824388
dc.format
application/pdf
dc.language
eng
dc.publisher
Institute of Electrical and Electronics Engineers (IEEE)
dc.relation
info:eu-repo/semantics/altIdentifier/doi/10.1109/PTC.2019.8810932
dc.relation
info:eu-repo/semantics/altIdentifier/isbn/978-1-5386-4722-6
dc.relation
info:eu-repo/semantics/altIdentifier/isbn/978-1-5386-4723-3
dc.relation
info:eu-repo/grantAgreement/EC/H2020/824388/EU/Integrated multi-vector management system for Energy isLANDs/E-LAND
dc.rights
info:eu-repo/semantics/openAccess
dc.source
© 2019 IEEE Milan PowerTech, 2019, p. 1-6
dc.source
Contribucions a Congressos (D-EEEiA)
dc.subject
Sistemes de distribució d'energia elèctrica
dc.subject
Electric power systems
dc.title
Multi-vector energy optimization tools for energy islands
dc.type
info:eu-repo/semantics/conferenceObject
dc.type
info:eu-repo/semantics/acceptedVersion
dc.type
peer-reviewed


Files in this item

FilesSizeFormatView

There are no files associated with this item.